Artificial intelligence can assist providers in a variety of patient care and intelligent health
systems. Artificial intelligence techniques ranging from machine learning to deep learning …

Carotid artery stenosis is a well-established risk factor of ischemic stroke, contributing to up
to 10%-20% of strokes or transient ischemic attacks. Many clinical trials over the last 20 …

Objectives The goal of this study was to compare the risk of stroke between patients with
carotid artery disease with and without the presence of intraplaque hemorrhage (IPH) on …

Background and Purpose—MRI characterization of carotid plaque has been studied recently
as a potential tool to predict stroke caused by carotid atherosclerosis. We performed a …

Advances in atherosclerosis imaging technology and research have provided a range of
diagnostic tools to characterize high-risk plaque in vivo; however, these important vascular …

Objectives: This study sought to conduct a systematic review and meta-analysis to determine
precise estimates of the predictive value of carotid intraplaque hemorrhage (IPH) as …

Carotid atherosclerotic plaques represent both stable and unstable atheromatous lesions.
Atherosclerotic plaques that are prone to rupture owing to their intrinsic composition such as …

Vessel wall imaging can depict the morphologies of atherosclerotic plaques, arterial walls,
and surrounding structures in the intracranial and cervical carotid arteries beyond the simple …

Objectives: Our goal was to assess the prevalence of complicated American Heart
Association (AHA) lesion type VI plaques in the carotid arteries of patients with cryptogenic …

Objective There is a recognized need to improve selection of patients with carotid artery
stenosis for carotid endarterectomy (CEA). We assessed the value of magnetic resonance …